A combined algorithm for T-wave alternans qualitative detection and quantitative measurement
<p>Abstract</p> <p>Background</p> <p>T-wave alternans (TWA) provides a noninvasive and clinically useful marker for the risk of sudden cardiac death (SCD). Current most widely used TWA detection algorithms work in two different domains: time and frequency. The disadvant...
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doaj-affdc3f3b15446bd8bd07b2b2102656f2020-11-24T21:15:34ZengBMCJournal of Cardiothoracic Surgery1749-80902013-01-0181710.1186/1749-8090-8-7A combined algorithm for T-wave alternans qualitative detection and quantitative measurementWan XiangKuiYan KanghuiLuo DehanZeng Yanjun<p>Abstract</p> <p>Background</p> <p>T-wave alternans (TWA) provides a noninvasive and clinically useful marker for the risk of sudden cardiac death (SCD). Current most widely used TWA detection algorithms work in two different domains: time and frequency. The disadvantage of the spectral analytical techniques is that they treat the alternans signal as a stationary wave with a constant amplitude and a phase. They cannot detect non-stationary characteristics of the signal. The temporal domain methods are sensitive to the alignment of the T-waves. In this study, we sought to develop a robust combined algorithm (CA) to assess T-wave alternans, which can qualitatively detect and quantitatively measure TWA in time domain.</p> <p>Methods</p> <p>The T wave sequences were extracted and the total energy of each T wave within the specified time-frequency region was calculated. The rank-sum test was applied to the ranked energy sequences of T waves to detect TWA qualitatively. The ECG containing TWA was quantitatively analyzed with correlation method.</p> <p>Results</p> <p>Simulation test result proved a mean sensitivity of 91.2% in detecting TWA, and for the SNR not less than 30 dB, the accuracy rate of detection achieved 100%. The clinical data experiment showed that the results from this method vs. spectral method had the correlation coefficients of 0.96.</p> <p>Conclusions</p> <p>A novel TWA analysis algorithm utilizing the wavelet transform and correlation technique is presented in this paper. TWAs are not only correctly detected qualitatively in frequency domain by energy value of T waves, but the alternans frequency and amplitude in temporal domain are measured quantitatively.</p> http://www.cardiothoracicsurgery.org/content/8/1/7T-wave alternansContinuous wavelet transformRank-sum testQuantitive estimation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wan XiangKui Yan Kanghui Luo Dehan Zeng Yanjun |
spellingShingle |
Wan XiangKui Yan Kanghui Luo Dehan Zeng Yanjun A combined algorithm for T-wave alternans qualitative detection and quantitative measurement Journal of Cardiothoracic Surgery T-wave alternans Continuous wavelet transform Rank-sum test Quantitive estimation |
author_facet |
Wan XiangKui Yan Kanghui Luo Dehan Zeng Yanjun |
author_sort |
Wan XiangKui |
title |
A combined algorithm for T-wave alternans qualitative detection and quantitative measurement |
title_short |
A combined algorithm for T-wave alternans qualitative detection and quantitative measurement |
title_full |
A combined algorithm for T-wave alternans qualitative detection and quantitative measurement |
title_fullStr |
A combined algorithm for T-wave alternans qualitative detection and quantitative measurement |
title_full_unstemmed |
A combined algorithm for T-wave alternans qualitative detection and quantitative measurement |
title_sort |
combined algorithm for t-wave alternans qualitative detection and quantitative measurement |
publisher |
BMC |
series |
Journal of Cardiothoracic Surgery |
issn |
1749-8090 |
publishDate |
2013-01-01 |
description |
<p>Abstract</p> <p>Background</p> <p>T-wave alternans (TWA) provides a noninvasive and clinically useful marker for the risk of sudden cardiac death (SCD). Current most widely used TWA detection algorithms work in two different domains: time and frequency. The disadvantage of the spectral analytical techniques is that they treat the alternans signal as a stationary wave with a constant amplitude and a phase. They cannot detect non-stationary characteristics of the signal. The temporal domain methods are sensitive to the alignment of the T-waves. In this study, we sought to develop a robust combined algorithm (CA) to assess T-wave alternans, which can qualitatively detect and quantitatively measure TWA in time domain.</p> <p>Methods</p> <p>The T wave sequences were extracted and the total energy of each T wave within the specified time-frequency region was calculated. The rank-sum test was applied to the ranked energy sequences of T waves to detect TWA qualitatively. The ECG containing TWA was quantitatively analyzed with correlation method.</p> <p>Results</p> <p>Simulation test result proved a mean sensitivity of 91.2% in detecting TWA, and for the SNR not less than 30 dB, the accuracy rate of detection achieved 100%. The clinical data experiment showed that the results from this method vs. spectral method had the correlation coefficients of 0.96.</p> <p>Conclusions</p> <p>A novel TWA analysis algorithm utilizing the wavelet transform and correlation technique is presented in this paper. TWAs are not only correctly detected qualitatively in frequency domain by energy value of T waves, but the alternans frequency and amplitude in temporal domain are measured quantitatively.</p> |
topic |
T-wave alternans Continuous wavelet transform Rank-sum test Quantitive estimation |
url |
http://www.cardiothoracicsurgery.org/content/8/1/7 |
work_keys_str_mv |
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